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Francesco Locatello

NeurIPS 2026×7推理对齐与偏好可解释性社会与人本

新星分资深

27

一作贡献0

核心/参与22

方向广度8

合作网络3

0 一作 · 7 篇 · NeurIPS 2026

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2026 顶会论文

7

作者位次 #5/6NeurIPS 2026Poster

Understanding Layer Patching in Model Size Interpolation

Sara Kangaslahti · Jonathan Geuter · Nihal V Nayak · Marco Fumero · Francesco Locatello · David Alvarez-Melis

作者位次 #4/4NeurIPS 2026Poster

MorphGen: Controllable Cell-Image Generation with Biological Representation Alignment

Berker Demirel · Marco Fumero · Theofanis Karaletsos · Francesco Locatello

推理对齐与偏好可解释性OpenReview

作者位次 #3/3NeurIPS 2026Spotlight

Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models

Dario Rancati · Max Welling · Francesco Locatello

作者位次 #2/2NeurIPS 2026Poster

Causal learning with the invariance principle

Francesco Montagna · Francesco Locatello

作者位次 #4/4NeurIPS 2026Poster

Causal Discovery Under Hard Selection Bias: A New Robust Score-Matching Approach

Yiwen Qiu · Francesco Montagna · Shimeng Huang · Francesco Locatello

社会与人本OpenReview

作者位次 #4/5NeurIPS 2026Poster

Stranger Things: When Objects Appear Without Their Typical Neighbours

Siddhartha Gairola · Jiahao Xie · Anna Kukleva · Francesco Locatello · Bernt Schiele

作者位次 #2/2NeurIPS 2026Poster

Controlling Transient Amplification Improves Long-horizon Rollouts

Adeel Pervez · Francesco Locatello

常见合作者

MFMarco Fumero×2 FMFrancesco Montagna×2 SKSara Kangaslahti JGJonathan Geuter NNNihal V Nayak DADavid Alvarez-Melis BDBerker Demirel TKTheofanis Karaletsos DRDario Rancati MWMax Welling YQYiwen Qiu SHShimeng Huang